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Bonventure Hillary

Bonventure Hillary

Computational Physicist and Materials Scientist

Talent
NakuruMember since August 11, 2026
Quantum ESPRESSO
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Quantum ESPRESSO

About

Computational Physicist and Materials Scientist with a strong background in Physics and Mathematics. Expert in using Density Functional Theory (DFT) for ab-initio quantum mechanical simulations to engineer high-efficiency organic and inorganic perovskite solar cells. Combines advanced theoretical modeling with hands-on experience in technical production, electrical maintenance, and machinery operation.

Experience

Graduate Researcher – Computational Material Science Lab - Egerton University - Njoro

(2025-01)

  • Conduct first-principles DFT simulations on single/double perovskites and titanium-based oxides (ATiO₃) to analyze optical bandgaps for solar harvesting applications.
  • Model charge transport dynamics and quantum confinement effects within photovoltaic thin films to maximize solar cell power conversion efficiency (PCE).
  • Administer the department's Linux terminal high-performance computers, managing computational resource queuing for complex crystal lattice structural relaxations.

Production Operator - Unga Farm Care Limited - Nakuru

(2023-08 - 2023-11)

  • Automated and regulated multi-stage manufacturing equipment, maintaining tight control loops to prevent structural defects in processing pipelines.
  • Mitigated critical equipment downtime via rapid diagnostic logging and swift, data-driven cross-functional technical escalation.
  • Enforced strict zero-harm industrial safety matrices, ensuring total compliance with biochemical and engineering operational protocols.

Electrical & Materials Intern - Egerton University Estates & Labs - Njoro

(2023-04 - 2023-07)

  • Diagnosed component-level faults and maintained institutional electrical infrastructure to guarantee steady power to critical laboratory equipment.

Lead Technical Researcher (Geophysics Project) - Egerton University - Njoro

(2022-09 - 2023-03)

  • Processed raw stratigraphic field data, mapping deep-strata structural anomalies and permanent water tables at depths exceeding 50 meters.
  • Compiled technical hydrological datasets used to draft the framework for the Egerton campus sustainable drilling initiatives.

Education

Master of Science - Computational Physics - Egerton University Department of Physics (2025-01)

Bachelor of Science - Physics Major, Mathematics Minor - Egerton University (2019-01 - 2024-12)

Kenya Certificate of Secondary Education (KCSE) - High School (2013-01 - 2018-12)

Kenya Certificate of Primary Education (KCPE) - Primary School (2004-01 - 2012-12)

Skills

Computational Physicist and Materials Scientist

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